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AWS for startups

Building a startup on AWS? Get the architecture and commercial plan right

From first deployment to production scale, startups need an architecture that fits the product and runway. Cloud Is Good helps founders and engineering teams plan AWS infrastructure, review eligible credit programmes and control cloud costs.

What we can help with

Solutions built around your requirement

Start with your current environment, business goals and constraints. We help define a practical scope before recommending a product, platform or migration route.

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AWS architecture for new startup workloads
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AWS Activate credits eligibility guidance
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POC and prototype workload planning
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AI/ML, data and GPU workload architecture
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Cloud migration from local servers or another provider
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FinOps, security, backup and production readiness
A clear delivery approach

From first conversation to a workable plan

STEP 01

Share your startup stage, product and workload requirements

STEP 02

Assess architecture, expected usage and monthly cost

STEP 03

Check current credit or funding eligibility

STEP 04

Build a secure POC or production-ready AWS foundation

Let's get started

Discuss your startup workload

Share your current setup, what you want to achieve, approximate users or workload count, and target timeline. We will help you identify the next practical step.

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AWS credits and funding are subject to the provider’s current programme rules, eligibility review and written approval. Cloud Is Good cannot guarantee an award or a specific credit amount.
Common questions

Frequently asked questions

Can startups get AWS credits?

AWS Activate offers credits to eligible startups. Current eligibility depends on factors such as company stage, funding or provider affiliation, prior credits and AWS account requirements. Approval is made by AWS.

Can you help with AWS POC credits?

We can help scope a proof of concept, document the workload and check whether an applicable AWS or partner-led funding route exists. Funding is subject to eligibility and approval; it is not guaranteed.

Can you help build AI/ML workloads on AWS?

We can help plan compute, storage, networking, data pipelines, model development and deployment architecture. GPU availability, service selection, security and cost need to be assessed for each workload.

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